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--- |
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license: apache-2.0 |
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base_model: riotu-lab/ArabianGPT-01B |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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- rouge |
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model-index: |
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- name: res_nw_irq |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# res_nw_irq |
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This model is a fine-tuned version of [riotu-lab/ArabianGPT-01B](https://huggingface.co/riotu-lab/ArabianGPT-01B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0817 |
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- Bleu: 0.3500 |
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- Rouge1: 0.5071 |
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- Rouge2: 0.2486 |
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- Rougel: 0.5048 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:| |
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| 1.7995 | 1.0 | 1057 | 1.1332 | 0.3157 | 0.4552 | 0.2017 | 0.4531 | |
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| 0.5906 | 2.0 | 2114 | 1.0817 | 0.3500 | 0.5071 | 0.2486 | 0.5048 | |
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| 0.484 | 3.0 | 3171 | 1.1038 | 0.3592 | 0.5330 | 0.2737 | 0.5303 | |
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| 0.4017 | 4.0 | 4228 | 1.1117 | 0.3665 | 0.5471 | 0.2915 | 0.5449 | |
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| 0.3357 | 5.0 | 5285 | 1.1361 | 0.3695 | 0.5552 | 0.3010 | 0.5533 | |
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| 0.2832 | 6.0 | 6342 | 1.1257 | 0.3721 | 0.5607 | 0.3089 | 0.5584 | |
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| 0.2404 | 7.0 | 7399 | 1.1581 | 0.3740 | 0.5622 | 0.3102 | 0.5600 | |
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### Framework versions |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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